Publications

Trabelsi S., Gontara S., Khalifa K.B., Mtibaa A.
End-to-end MLOps framework for EEG-based epilepsy prediction: Automating deep learning pipelines for scalable healthcare solutions
Array, 29, art. no. 100649
DOI: 10.1016/j.array.2025.100649

Zayed A., Belhadj N., Ben Khalifa K., Valderrama C., Bedoui M.H.
A Novel Hybrid Approach for Drowsiness Detection Using EEG Scalograms to Overcome Inter-Subject Variability
Sensors, 25 (17), art. no. 5530
DOI: 10.3390/s25175530

Zayed A., Trabes E., Tarrillo J., Ben Khalifa K., Valderrama C.
Efficient Embedded System for Drowsiness Detection Based on EEG Signals: Features Extraction and Hardware Acceleration
Electronics (Switzerland), 14 (3), art. no. 404
DOI: 10.3390/electronics14030404

Zayed A., Belhadj N., Ben Khalifa K., Bedoui M.H., Valderrama C.
Efficient Generalized Electroencephalography-Based Drowsiness Detection Approach with Minimal Electrodes
Sensors, 24 (13), art. no. 4256
DOI: 10.3390/s24134256

Assali I., Ghazi Blaiech A., Ben Abdallah A., Ben Khalifa K., Carrère M., Hédi Bedoui M.
CNN-based classification of epileptic states for seizure prediction using combined temporal and spectral features
Biomedical Signal Processing and Control, 82, art. no. 104519
DOI: 10.1016/j.bspc.2022.104519

Gam M., Boubaker M., Ben Khalifa K., Bedoui M.H.
A Parallel Reconfigurable Architecture for Scalable LVQ Neural Networks
Neural Processing Letters, 55 (3), pp. 2521 - 2550
DOI: 10.1007/s11063-022-10814-9

Abidi A., Ben Khalifa K., Ben Cheikh R., Valderrama Sakuyama C.A., Bedoui M.H.
Automatic Detection of Drowsiness in EEG Records Based on Machine Learning Approaches
Neural Processing Letters, 54 (6), pp. 5225 - 5249
DOI: 10.1007/s11063-022-10858-x

Khessiba S., Blaiech A.G., Ben Khalifa K., Ben Abdallah A., Bedoui M.H.
Innovative deep learning models for EEG-based vigilance detection
Neural Computing and Applications, 33 (12), pp. 6921 - 6937
DOI: 10.1007/s00521-020-05467-5

S. Khessiba, A. G. Blaiech, A. Manzanera, K. Ben Khalifa, A. Ben Abdallah, et M. H. Bedoui
"Hyperparameter Optimization of Deep Learning Models for EEG-Based Vigilance Detection"
Communications in Computer and Information Science, vol. 1653, pp. 200–210, 2022.
DOI: 10.1007/978-3-031-16210-7_16

A. Bouden, A. G. Blaiech, K. Ben Khalifa, A. Ben Abdallah, et M. H. Bedoui
"A Novel Deep Learning Model for COVID-19 Detection from Combined Heterogeneous X-ray and CT Chest Images"
Lecture Notes in Computer Science (LNAI), vol. 12721, pp. 378–383, 2021.
DOI: 10.1007/978-3-030-77211-6_44

Eya Sayari, Ibtihel Nouira, Mohamed Hedi Bedoui, Khaled Ben Khalifa
Efficient Epileptic Seizure Detection from EEG Using Modified EEGNet and a Multi-Head Self-Attention mechanism
3rd International Conference on Next Generation of Internet of Things (ICNGIoT-2026), 23-24 janvier 2026, Gunupur

S. Trabelsi, S. Gontara, K. B. Khalifa and A. Mtibaa
"Designing a Teacher—Student Knowledge Distillation Framework for Accurate and Efficient Epilepsy Prediction on Edge Devices"
2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-6
DOI: 10.1109/INISTA68122.2025.11249604

R. Babba, K. B. Khalifa, M. Charrad, A. G. Blaiech and M. H. Bedoui
"Hybrid CNN-SOM Models for Vigilance State Classification from EEG Signals"
2025 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), Ras Al Khaimah, United Arab Emirates, 2025, pp. 1-5
DOI: 10.1109/INISTA68122.2025.11249643

S. Khessiba, A. G. Blaeich, A. B. Ben Abdallah, A. Manzanera, K. Ben Khalifa, et M. H. Bedoui
"A Novel Hybrid Grid Search and Tree Parzen Estimator for Deep Learning Hyperparameters Optimization"
Proceedings of the IEEE/ACS International Conference on Computer Systems and Applications (AICCSA), 2024
DOI: 10.1109/AICCSA63423.2024.10912622

A. Zayed, K. Ben Khalifa, N. Belhadj, M. H. Bedoui, et C. A. Valderrama Sukuyama
"Discrete Wavelet Transform Coefficients for Drowsiness Detection from EEG Signals"
Proc. IEEE Int. Conf. on Design & Technology of Integrated Systems (DTTIS), 2023
DOI: 10.1109/DTTIS59576.2023.10348377

A. Zayed, N. Belhadj, K. Ben Khalifa, et M. H. Bedoui
"VVC Intra Prediction Decoder: Feature Improvement and Performance Analysis"
Proc. IEEE Int. Conf. on Design & Test of Integrated Systems (DTS), 2022
DOI: 10.1109/DTS55284.2022.9809895

R. Lachtar, S. Jovanović, K. Ben Khalifa, R. B. Cheikh, S. Weber, et M. H. Bedoui
"Drowsiness Detection with a Limited Number of EEG Physiological Signals"
Proc. IEEE Int. Conf. on Design & Test of Integrated Systems (DTS), 2022
DOI: 10.1109/DTS55284.2022.9809842

S. Jovanović, H. Rabah, S. Weber, K. Ben Khalifa, et M. H. Bedoui
"Scalable, Dynamic and Growing Hardware Self-Organizing Architecture for Real-Time Vector Quantization"
Proc. IEEE Int. Conf. on Electronics, Circuits and Systems (ICECS), art. no. 9294921, 2020
DOI: 10.1109/ICECS49266.2020.9294921

A. Zayed, N. Belhadj, K. Ben Khalifa, M. H. Bedoui, et C. Valderrama
"Compatibility of Video Compression Standards with Driver Drowsiness Detection Acquisition System: HEVC and VVC Comparative Study"
Proc. 11th Workshop on Applications Médicales de l'Informatique : Nouvelles Approaches (AMINA), Monastir, Tunisia, Nov. 2–4, 2022

R. Lachtar, S. Jovanović, K. Ben Khalifa, S. Weber, et M. H. Bedoui
"Single EEG Channel for Drowsiness Detection"
Proc. 11th Workshop on Applications Médicales de l'Informatique : Nouvelles Approaches (AMINA), Monastir, Tunisia, Nov. 2–4, 2022

S. Khessiba, A. G. Blaiech, A. Ben Abdallah, K. Ben Khalifa, A. Manzanera, et M. H. Bedoui
"Convolution Neural Network Hyperparameter Optimization for Vigilance Classification"
Proc. 11th Workshop on Applications Médicales de l'Informatique : Nouvelles Approaches (AMINA), Monastir, Tunisia, Nov. 2–4, 2022

A. Abidi, K. Ben Khalifa, C. Valderrama, et M. H. Bedoui
"Drowsiness Detection System Based on EEG and ECG Signals"
Proc. 10th Workshop on Applications Médicales de l'Informatique : Nouvelles Approches (AMINA), Monastir, Tunisia, Dec. 17–19, 2020

R. Lachtar, S. Jovanović, K. Ben Khalifa, R. Ben Cheikh, S. Weber, et M. H. Bedoui
"Détection de la Baisse de Vigilance chez le Conducteur avec un Nombre Limité de Signaux Physiologiques EEG"
Proc. 10th Workshop on Applications Médicales de l'Informatique : Nouvelles Approches (AMINA), Monastir, Tunisia, Dec. 17–19, 2020

S. Khessiba, A. G. Blaiech, K. Ben Khalifa, A. Ben Abdallah, et M. H. Bedoui
"Innovative Deep Learning Models for EEG-Based Vigilance Detection"
Proc. 10th Workshop on Applications Médicales de l'Informatique : Nouvelles Approaches (AMINA), Monastir, Tunisia, Dec. 17–19, 2020